Machine Learning Libraries

While this book is an introduction to deep learning with Keras, as mentioned earlier, we will start by utilizing scikit-learn. This will help us establish the fundamentals of building a machine learning model using the Python programming language.

Similar to scikit-learn, Keras makes it easy to create models in the Python programming language through an easy-to-use API. However, the goal of Keras is for the creation and training of neural networks, rather than machine learning models in general. ANNs represent a large class of machine learning algorithms, and they are so called because their architecture resembles the neurons in the human brain. The Keras library has many general-purpose functions built in, such as optimizers, activation functions, and layer properties, so that users, like in scikit-learn, do not have to code these algorithms from scratch.